Results 11 to 20 of about 560,784 (316)

Numerical Study on Elastic Parameter Identification of Large-Span Steel Truss Structures Based on Strain Test Data [PDF]

open access: yes, 2022
Large-span steel trusses are widely used in public buildings such as large-span factory buildings, exhibition halls, gymnasiums, and bridges because of their fast construction speed and easy industrial manufacturing.
Yuxin Zhang   +7 more
core   +2 more sources

Direct parameter identification of distributed parameter systems [PDF]

open access: yesInternational Journal of Systems Science, 2000
A new direct approach to identifying the parameters of distributed parameter systems from noise-corrupted data is introduced. The model of the system which takes the form of a set of linear or nonlinear partial differential equations is assumed known with the exception of a set of constant parameters.
Daniel Coca, Stephen A. Billings
openaire   +1 more source

Parameter estimation from ICC curves

open access: yesJournal of Biological Dynamics, 2021
Incidence vs. Cumulative Cases (ICC) curves are introduced and shown to provide a simple framework for parameter identification in the case of the most elementary epidemiological model, consisting of susceptible, infected, and removed compartments.
Joceline Lega
doaj   +1 more source

Identification of Parameters in Distributed Parameter Systems by Regularization [PDF]

open access: yesSIAM Journal on Control and Optimization, 1983
The authors investigate the parameter identification problem for distributed parameter systems. The problem of parameter identification in distributed parameter systems from noisy data is both nonlinear and ill- posed. They develop the concept of regularization, which is widely used in solving linear Fredholm integral equations, for the identification ...
Kravaris, Costas, Seinfeld, John H.
openaire   +4 more sources

Parameters Identification as Identification of External Loads [PDF]

open access: yesPAMM, 2008
AbstractSubstitution of traditional problem of parameters identification to a problem of identification of some additional external load to researched system is offered in conditions, when the initial information on researched parameter and about statistical properties of measurements is absent or is insignificant.
openaire   +2 more sources

New Trends in Parameter Identification for Mathematical Models [PDF]

open access: yes, 2018
The Proceedings volume contains 16 contributions to the IMPA conference “New Trends in Parameter Identification for Mathematical Models”, Rio de Janeiro, Oct 30 – Nov 3, 2017, integrating the “Chemnitz Symposium on Inverse Problems on Tour”.

core   +1 more source

Applying parameter identification and optimal input design in well-testing [PDF]

open access: yesModeling, Identification and Control, 1988
This article discusses the use of optimal input design and parameter identification methods in reservoir evaluation. A new optimal input design criterion is presented which in addition to the uncertainty in the parameter estimates accounts for the ...
Bjarne A. Foss
doaj   +1 more source

Parameter identification in a probabilistic setting [PDF]

open access: yesEngineering Structures, 2013
Parameter identification problems are formulated in a probabilistic language, where the randomness reflects the uncertainty about the knowledge of the true values. This setting allows conceptually easily to incorporate new information, e.g. through a measurement, by connecting it to Bayes's theorem.
Rosic, Bojana V.   +5 more
openaire   +3 more sources

System identification in production ecology: from theory to agroforestry practice [PDF]

open access: yes, 2009
This paper introduces a system identification approach to agricultural ecosystems. In particular, the identification of an agroforestry system, combining trees with crops, is subject of study.
Graves, Anil R.   +12 more
core   +1 more source

Inertial Parameter Identification in Robotics: A Survey

open access: yesApplied Sciences, 2021
This work aims at reviewing, analyzing and comparing a range of state-of-the-art approaches to inertial parameter identification in the context of robotics.
Quentin Leboutet   +4 more
doaj   +1 more source

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